A US Survey Across Seven Early-Stage Cancers Assessing the Humanistic Burden of Recurrence on Patients and Caregivers
Bibliographic record
Abstract
Patients diagnosed with an early-stage cancer are at risk of recurrence. Although the economic burden of a cancer recurrence is described in the literature, little is known about the humanistic burden of an early-stage cancer recurrence. Therefore, we surveyed patients and caregivers to understand the impact of a first cancer recurrence on patient and caregiver quality of life (QoL). Patients with early-stage bladder, gastric, head and neck (HN), melanoma, non-small cell lung, renal cell, and triple-negative breast cancers (TNBC) that recurred and caregivers of such patients completed a self-administered, online survey exploring QoL impacts. QoL was evaluated using de novo questions and the following instruments: EQ-5D-5L (patients and caregivers), European Organisation for Research and Treatment of Cancer Core Quality of Life questionnaire (patients only), and CareGiver Oncology Quality of Life questionnaire (caregivers only). Patient and caregiver responses and scores were stratified by type of cancer and type of recurrence (locoregional or distant/metastatic). Among patients (N = 202), QoL was found to differ significantly across tumor types at time of survey, with lower scores seen in patients with renal cell carcinoma, gastric cancer, and HN cancer and higher scores seen in patients with melanoma and TNBC. Among caregivers (N = 100), QoL did not differ across tumor types. In both patients and caregivers, decreases in QoL were observed from pre-recurrence to post-recurrence, with greater worsening in QoL seen with distant/metastatic versus locoregional recurrences. Most patients reported worrying and feeling anxious and stressed about their condition. Most caregivers reported worrying about the cared-for person’s cancer getting worse or coming back and that caring for the person was challenging post-recurrence. Our findings demonstrate the importance of preventing recurrences and their negative impact on patients’ and caregivers’ QoL. Early-stage cancer treatments that prevent recurrences can provide better QoL. This study evaluated the quality-of-life (QoL) impacts following a recurrence of an early-stage cancer, focusing on seven different types of cancer: bladder cancer, gastric cancer, head and neck cancer, melanoma, non-small cell lung cancer, renal cell carcinoma, and triple-negative breast cancer. We surveyed both patients who experienced a recurrence of an early-stage cancer and caregivers of such patients, via online survey. Decreases in QoL were observed across all cancer types, with patients diagnosed with renal cell carcinoma, non-small cell lung cancer, gastric cancer, or head and neck cancer reporting the greatest decreases in QoL. When we analyzed patients by type of recurrence, we found that patients with a distant/metastatic first recurrence reported the greatest negative impacts on QoL compared with those with a local/regional first recurrence. Results for caregivers generally mirrored those for patients. The study results demonstrate the importance of preventing early-stage cancer from recurring.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".